智能完井温度监测技术在油气田开发中的应用及理论模型研究进展

智能完井条件下的温度监测技术发展历程特别是最新的温度监测理论模型的研究现状,可为井下温度监测技术的进一步应用和深入开展理论研究提供参考。目前油田使用的主流温度传感器包括永久式井下电子压力/温度计和分布式光纤温度传感器2种类型,其中分布式光纤温度传感器由于其特别的环境适应性和采集温度数据的分布式特点使其应用更广泛。温度监测技术的6大应用主要包括气举监测、流动剖面解释、气水锥进诊断、稠油热采监测、增产作业监测评价和储层物性参数反演分析等,其中增产作业监测评价和储层物性参数反演分析2个领域的理论研究进展迅速,不仅研究了温度试井的理论分析方法,而且在传统温度监测模型的基础上,针对水平井多级多簇压裂监测的具体情况进行了大幅度的改进,实现了温度模拟和压裂评估反演的双重功能。

Review on application and theoretical models for temperature monitoring technology under intelligent well completion conditions in oil and gas field development

The development process of the temperature monitoring technology under the intelligent well completion(IWC)conditions,especially the latest research works of the theoretical models for the temperature monitoring technology,provides reference for further application and in-depth theoretical research of the downhole temperature monitoring technology.The mainstream temperature sensors currently used in oilfields include the permanent downhole electronic pressure/temperature sensors and distributed optical fiber temperature sensors.Due to the strong environmental adaptability and the distributed characteristics of temperature data,the distributed optical fiber temperature sensors have been more widely used.Six major application for the temperature monitoring technology include:gas lift monitoring,flow profile interpretation,gas-water coning diagnostics,heavy oil thermal recovery monitoring,stimulation monitoring and evaluation,and reservoir property inversion analysis and so on.The theoretical research works showed the rapid progresses in stimulation monitoring and evaluation as well as reservoir property inversion analysis.The transient temperature analysis has been established gradually.The temperature models for multi-stage,multi-cluster horizontal fractured well have also been improved greatly based on the conventional temperature model in fractured wells,which could be used for both temperature simulation and fracturing evaluation inversion.